Current and future machine learning approaches for modeling atmospheric cluster formation.
Nat Comput Sci
; 3(6): 495-503, 2023 Jun.
Article
em En
| MEDLINE
| ID: mdl-38177415
ABSTRACT
The formation of strongly bound atmospheric molecular clusters is the first step towards forming new aerosol particles. Recent advances in the application of machine learning models open an enormous opportunity for complementing expensive quantum chemical calculations with efficient machine learning predictions. In this Perspective, we present how data-driven approaches can be applied to accelerate cluster configurational sampling, thereby greatly increasing the number of chemically relevant systems that can be covered.
Texto completo:
1
Coleções:
01-internacional
Base de dados:
MEDLINE
Tipo de estudo:
Prognostic_studies
Idioma:
En
Revista:
Nat Comput Sci
Ano de publicação:
2023
Tipo de documento:
Article